BENGALURU · FULLTIME
Data Platform Engineer
Accenture
Bengaluru · onsite · Posted 29d ago
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Undisclosed7–12 yrsfulltimeBengaluru
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Section · 01
About this role
About The Role
Project Role :Data Platform Engineer
Project Role Description :Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills :Generative AI
Good to have skills :NA
Minimum
5 year(s) of experience is required
Educational Qualification :15 years full time education
Summary:
As a Agentic Interaction Engineer, you will define the data requirements and structure for the application. FDE UX Interation engineer (510 yrs) building scalable UX designs to enable ease of use and improved productivity of platforms. You will collaborate with various teams to ensure that the data Engineer is robust, scalable, and efficient, while also addressing any challenges that arise during the development process. Your role will be pivotal in shaping the data landscape of the organization, enabling data-driven decision-making and fostering innovation through effective data management practices.
Responsibilities:
Discover, profile, and assess customer data systems and quality.
Design and implement robust ETL/ELT pipelines across legacy, APIs, DBs, and streams.
Build cloud-based data infrastructure and optimize large-scale datasets.
Ensure data quality, governance, and compliance.
Provide structured data assets and documentation for AI/ML and BI teams.
Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.
Hands on Experience in applying Performance optimization techniques
Nice to Have:
1. 510 yrs data engineering with proven end-to-end pipeline delivery.
Strong Python SQL Spark/Databricks and orchestration (e.g., Airflow).
Experience with SAP HANA or similar analytical DBs Parquet/Delta Lake.
Familiarity with streaming (Kafka or similar) and batch + real-time architectures.
Knowledge of data governance, MDM concepts, and PII/compliance.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Data Engineering/Machine learning
- This position is based at our Bengaluru/Pune office.
Educational Qualification:
- 15 years full time education is required.
Qualification15 years full time education
Project Role :Data Platform Engineer
Project Role Description :Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills :Generative AI
Good to have skills :NA
Minimum
5 year(s) of experience is required
Educational Qualification :15 years full time education
Summary:
As a Agentic Interaction Engineer, you will define the data requirements and structure for the application. FDE UX Interation engineer (510 yrs) building scalable UX designs to enable ease of use and improved productivity of platforms. You will collaborate with various teams to ensure that the data Engineer is robust, scalable, and efficient, while also addressing any challenges that arise during the development process. Your role will be pivotal in shaping the data landscape of the organization, enabling data-driven decision-making and fostering innovation through effective data management practices.
Responsibilities:
Discover, profile, and assess customer data systems and quality.
Design and implement robust ETL/ELT pipelines across legacy, APIs, DBs, and streams.
Build cloud-based data infrastructure and optimize large-scale datasets.
Ensure data quality, governance, and compliance.
Provide structured data assets and documentation for AI/ML and BI teams.
Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.
Hands on Experience in applying Performance optimization techniques
Nice to Have:
1. 510 yrs data engineering with proven end-to-end pipeline delivery.
Strong Python SQL Spark/Databricks and orchestration (e.g., Airflow).
Experience with SAP HANA or similar analytical DBs Parquet/Delta Lake.
Familiarity with streaming (Kafka or similar) and batch + real-time architectures.
Knowledge of data governance, MDM concepts, and PII/compliance.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Data Engineering/Machine learning
- This position is based at our Bengaluru/Pune office.
Educational Qualification:
- 15 years full time education is required.
Qualification15 years full time education
Sourced from naukri
Section · 02
Skills
data qualityuxSAPMDMApache SparkData EngineerApache Kafkaperformance optimizationapache airfloweltserverless computingDatabricksData EngineeringPythonSQLData WarehousingData GovernancecomplianceETLSap HanaArtificial IntelligenceMachine Learning
Section · Company
About Accenture
Accenture
IT Services & Consulting
350k+
employees
1989
37 years old
Dublin
Ireland
About
Accenture plc is an Irish-American, professional services company based in Dublin, specializing in information technology services and consulting.
Industries
IT Services & ConsultingAnalytics & KPOSoftware ProductManagement Consulting
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